基本信息
马坷  男  博导  电子电气与通信工程学院
电子邮件: make@ucas.ac.cn
通信地址: 北京市海淀区科学院南路6号中国科学院计算技术研究所
邮政编码:

招生信息

   
招生专业
081002-信号与信息处理
招生方向
机器学习,鲁棒优化

教育背景

2013-09--2019-06   中国科学院大学(培养单位:中国科学院信息工程研究所)   工学博士学位
2010-09--2013-01   北京航空航天大学   工程硕士学位
2005-09--2009-06   天津大学   理学学士学位

工作经历

   
工作简历
2019-09~2022-08,中国科学院大学, 博士后

专利与奖励

   
专利成果
[1] 许倩倩, 姜阳邦彦, 马坷, 杨智勇, 李朝鹏, 操晓春, 黄庆明. 基于多几何模型融合的结构一致性运动分割方法和系统. 202110220558.0, 2021-06-25.

出版信息

   
发表论文
[1] Ma, Ke, Xu, Qianqian, Zeng, Jinshan, Li, Guorong, Cao, Xiaochun, Huang, Qingming. A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2023, 45(4): 4090-4108, http://arxiv.org/abs/2209.05742.
[2] Ma, Ke, Xu, Qianqian, Zeng, Jinshan, Cao, Xiaochun, Huang, Qingming. Poisoning Attack Against Estimating From Pairwise Comparisons. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2022, 44(10): 6393-6408, [3] Wenzheng Hou, Qianqian Xu, Ke Ma, Qianxiu Hao, Qingming Huang. Quaternion Ordinal Embedding. International Joint Conference on Artificial Intelligencenull. 2022, [4] Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao. LAS-AT: Adversarial Training with Learnable Attack Strategy. IEEE/CVF Conference on Computer Vision and Pattern Recognitionnull. 2022, [5] Junyu Chen, Qianqian Xu, Zhiyong Yang, Ke Ma, Xiaochun Cao, Qingming Huang. Recurrent Meta-Learning against Generalized Cold-start problem in CTR Prediction. ACM International Conference on Multimedianull. 2022, [6] Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao. Prior-Guided Adversarial Initialization for Fast Adversarial Training. European Conference on Computer Vision Conferencenull. 2022, [7] Zitai Wang, Qianqian Xu, Ke Ma, Xiaochun Cao, Qingming Huang. Confederated Learning: Going Beyond Centralization. ACM International Conference on Multimedianull. 2022, [8] Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao. Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING[J]. 2021, 33(6): 2467-2478, http://dx.doi.org/10.1109/TKDE.2019.2956700.
[9] Li, Zhaopeng, Xu, Qianqian, Jiang, Yangbangyan, Ma, Ke, Cao, Xiaochun, Huang, Qingming. Neural Collaborative Preference Learning With Pairwise Comparisons. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2021, 23: 1977-1989, http://dx.doi.org/10.1109/TMM.2020.3006373.
[10] Yangbangyan Jiang, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang. What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models. AAAI Conference on Artificial Intelligencenull. 2021, [11] Bao, Shilong, Xu, Qianqian, Ma, Ke, Yang, Zhiyong, Cao, Xiaochun, Huang, Qingming, ACM. Collaborative Preference Embedding against Sparse Labels. ACM International Conference on Multimedianull. 2019, 2079-2087, http://dx.doi.org/10.1145/3343031.3350915.
[12] Ma, Ke, Xu, Qianqian, Cao, Xiaochun, AAAI. Robust Ordinal Embedding from Contaminated Relative Comparisons. THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2019, 7908-7915, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000486572502054.
[13] Zeng, Jinshan, Ma, Ke, Yao, Yuan. On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming. IEEE TRANSACTIONS ON SIGNAL PROCESSING[J]. 2019, 67(16): 4261-4275, [14] Ma Ke, Xu Qianqian, Yang Zhiyong, Cao Xiaochun, AAAI. Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2019, 2978-2985, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485292602121.
[15] Wang, Zitai, Xu, Qianqian, Ma, Ke, Jiang, Yangbangyan, Cao, Xiaochun, Huang, Qingming, ACM. Adversarial Preference Learning with Pairwise Comparisons. PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)null. 2019, 656-664, http://dx.doi.org/10.1145/3343031.3350919.
[16] Ma Ke, Zeng Jinshan, Xiong Jiechao, Xu Qianqian, Cao Xiaochun, Liu Wei, Yao Yuan, AAAI. Stochastic Non-Convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size. THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2018, 3738-3745, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488903102.
[17] Zeng Jinshan, Ma Ke, Yao Yuan, Storkey A, PerezCruz F. Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction. INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 84null. 2018, 84: [18] 司震寰, 王宁, 马坷. 基于连续渗流的股票价格波动模型及实证分析. 天津理工大学学报[J]. 2012, 28(1): 72-75, http://lib.cqvip.com/Qikan/Article/Detail?id=41193909.

科研活动

   
科研项目
( 1 ) 面向排序聚合的数据投毒攻击研究, 负责人, 国家任务, 2021-01--2023-12